Single cell genomics enables characterization of disease specific cell states, while improvements in mass spectrometry bring the clinical use of body fluid proteomics within reach. The correspondence of cell state changes in diseased organs to peripheral protein signatures is currently unknown. Here, we leverage single-cell RNA-seq and proteomic analysis of large pulmonary fibrosis patient cohorts to identify disease specific changes on the cellular level and their corresponding reflection in body fluid proteomes. We discovered and validated transcriptional changes in 45 cell types across three patient cohorts that translated into distinct changes in bronchoalveolar lavage fluid and plasma proteomes. These protein signatures correlated with diagnosis, lung function, smoking and injury status. Specifically, the altered expression of a novel marker of lung health, CRTAC1, in alveolar epithelium is robustly reflected in patient plasma. Our findings have direct implications for future non-invasive prediction and monitoring of pathological cell state changes in patient organs.
Keywords: fibrosis, systems medicine, single cell RNA-seq, proteomics, data integration, biomarker
Mayr, Christoph H. and Simon, Lukas M. and Leuschner, Gabriela and Ansari, Meshal and Geyer, Philipp E. and Angelidis, Ilias and Strunz, Maximilian and Singh, Pawandepp and Kneidinger, Nikolaus and Reichenberger, Frank and Silbernagel, Edith and Böhm, Stephan and Adler, Heiko and Hilgendorff, Anne and Lindner, Michael and Prasse, Antje and Behr, Jürgen and Mann, Matthias and Eickelberg, Oliver and Theis, Fabian J. and Schiller, Herbert B., Integrated Single Cell Analysis of Human Lung Fibrosis Resolves Cellular Origins of Predictive Protein Signatures in Body Fluids. Available at SSRN: https://ssrn.com/abstract=3538700 or http://dx.doi.org/10.2139/ssrn.3538700
This version of the paper has not been formally peer reviewed.
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